Latex-Dateien der Masterarbeit
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plotCSVMatplotlib 2.py 606B

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  1. import matplotlib.pyplot as plt
  2. import pandas as pd
  3. #df = pd.read_csv('run-train-tag-learning_rate.csv',sep=',')
  4. dfe = pd.read_csv('run-eval-tag-DetectionBoxes_Recall_AR@100 (large).csv',sep=',')
  5. ax = plt.gca()
  6. #df.plot(x='Step', y='Value', grid=True, linewidth=4, color="#FF5E13", ax=ax, legend=False)
  7. dfe.plot(x='Step', y='Value', grid=True, linewidth=4, ax=ax, legend=False)
  8. plt.title('Recall_AR@100 (large)', fontsize=28)
  9. plt.xlabel('Step', fontsize=24)
  10. plt.ylabel('Recall_AR@100 (large)', fontsize=24)
  11. plt.xticks(fontsize=20)
  12. plt.yticks(fontsize=20)
  13. #plt.legend(fontsize=20)
  14. plt.colorbar
  15. plt.show()